CN107192446B - Method for monitoring natural frequency of tower of wind generating set - Google Patents
Method for monitoring natural frequency of tower of wind generating set Download PDFInfo
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- CN107192446B CN107192446B CN201710639532.3A CN201710639532A CN107192446B CN 107192446 B CN107192446 B CN 107192446B CN 201710639532 A CN201710639532 A CN 201710639532A CN 107192446 B CN107192446 B CN 107192446B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H13/00—Measuring resonant frequency
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- G—PHYSICS
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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Abstract
The invention discloses a method for monitoring natural frequency of a tower drum of a wind generating set, wherein vibration acceleration instantaneous values of two symmetrical points of an axis in the tower drum are measured; carrying out weighting calculation and fast Fourier transform processing on the two vibration acceleration instantaneous values to obtain corresponding frequency domain signals; carrying out peak value detector detection and filtering processing on the frequency domain signal to obtain a tower drum inherent frequency instantaneous value; and comparing the instantaneous value with the base value to obtain a difference value, and if the difference value is greater than a threshold value, giving an alarm to stop the machine. The vibration acceleration signals of the tower drum are obtained in real time, and the natural frequency instantaneous value and the basic value of the tower drum are obtained through real-time calculation and sliding average calculation, so that the fault monitoring effect of the tower drum is realized, serious faults of the tower drum are avoided, and the safe and effective operation of a unit is guaranteed.
Description
Technical Field
The invention relates to a maintenance method of a wind generating set, in particular to a method for monitoring natural frequency of a tower of the wind generating set.
Background
With the rapid development of the wind power industry, the single-machine capacity of a fan is larger and larger, and most manufacturers use a tower cylinder resistance increasing mode to reduce the load of a tower. No matter passive mode is added to hinder, or active mode is added to hinder, all needs accurate tower section of thick bamboo natural frequency to adjust the attenuator parameter, reach good damping effect. At present, most manufacturers adopt tower drum natural frequency calculated by a complete machine model as input, but because of the difference of tower drum manufacturing process and site foundation, the tower drum natural frequency of an actual unit is different from a calculated value, so that the resistance adding effect of actual application and theoretical calculation is different, and the service life of the unit is influenced.
In addition, in the operation process of the unit, the natural frequency of the tower barrel is monitored in real time, when the natural frequency of the tower barrel deviates due to the problems of cracks, bolt looseness and the like of the tower barrel, the machine can be stopped in time, the maintenance is prompted, and the problems that the tower barrel is seriously cracked and even falls down and the like are avoided.
Therefore, the technical personnel in the field are dedicated to develop a method for extracting accurate natural frequency of the tower drum in real time by using the vibration acceleration signal of the tower drum for tower resistance adding control, ensuring the accuracy of tower resistance adding, and stopping in time when the natural frequency deviates to ensure the safe operation of the unit.
Disclosure of Invention
In view of the above defects in the prior art, the technical problem to be solved by the present invention is to provide a method for monitoring the natural frequency of a tower of a wind turbine generator system, wherein vibration acceleration instantaneous values of two symmetrical points of an axis in the tower are measured; carrying out weighting calculation and fast Fourier transform processing on the two vibration acceleration instantaneous values to obtain corresponding frequency domain signals; carrying out peak value detector detection and filtering processing on the frequency domain signal to obtain a tower drum inherent frequency instantaneous value; and comparing the instantaneous value with the base value to obtain a difference value, and if the difference value is greater than a threshold value, giving an alarm to stop the machine.
Preferably, the two instantaneous values of the vibration acceleration are calculated to obtain a weighted instantaneous value of the velocity.
Preferably, the weighted instantaneous velocity values are subjected to a fast fourier transform to obtain corresponding frequency domain signals.
Preferably, the frequency domain signal is passed through a peak detector to obtain a frequency corresponding to the peak amplitude.
Preferably, the frequency is filtered, known noise signals near the natural frequency of the tower are filtered, and the filtering output result is the instantaneous value of the natural frequency of the tower.
Preferably, two vibration acceleration sensors are symmetrically installed in the tower barrel by taking the main shaft as a center line, and vibration acceleration instantaneous values of two symmetrical points of an axis in the engine room are measured.
Preferably, the instantaneous value is subjected to a moving average calculation within a set sample period to obtain a base value of the tower natural frequency.
Preferably, the frequency range of the peak detector is set between 0.2Hz and 0.5 Hz.
Preferably, the noise signal is derived from the generator speed signal.
Preferably, the weighted instantaneous velocity values are summed by multiplying the instantaneous vibration acceleration values by corresponding weighting factors.
Compared with the prior art, the method for monitoring the natural frequency of the tower barrel of the wind generating set effectively solves the problem that the service life of the set is influenced due to the fact that the natural frequency of the tower barrel of an actual set is different from a calculated value due to the difference of a tower barrel manufacturing process and a site foundation in the prior art, the resistance adding effect of actual application and theoretical calculation is different, and the vibration acceleration signal of the tower barrel is obtained in real time, the instantaneous value and the basic value of the natural frequency of the tower barrel are obtained through real-time calculation and sliding average calculation, the effect of monitoring the fault of the tower barrel is achieved, serious faults of the tower barrel are avoided, and safe and.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a system block diagram of the present invention.
Detailed Description
As shown in the drawings, fig. 1 is a system block diagram of the invention, and a method for monitoring natural frequency of a tower drum of a wind generating set, wherein vibration acceleration instantaneous values of two symmetrical points of an axis in the tower drum are measured; carrying out weighting calculation and fast Fourier transform processing on the two vibration acceleration instantaneous values to obtain corresponding frequency domain signals; carrying out peak value detector detection and filtering processing on the frequency domain signal to obtain a tower drum inherent frequency instantaneous value; and comparing the instantaneous value with the base value to obtain a difference value, and if the difference value is greater than a threshold value, giving an alarm to stop the machine.
Further, the two instantaneous values of the vibration acceleration are calculated to obtain a weighted instantaneous value of the speed.
Further, the weighted velocity instantaneous value is subjected to fast Fourier transform to obtain a corresponding frequency domain signal.
Further, the frequency domain signal is passed through a peak detector to obtain a frequency corresponding to the peak amplitude.
And further, filtering the frequency to filter known noise signals near the natural frequency of the tower drum, wherein the filtering output result is the instantaneous value of the natural frequency of the tower drum.
Furthermore, two vibration acceleration sensors are symmetrically installed in the tower barrel by taking the main shaft as a center line, and vibration acceleration instantaneous values of two symmetrical points of the axis in the engine room are measured.
Further, the instantaneous value is subjected to moving average calculation in a set sample period to obtain a base value of the tower drum natural frequency.
Further, the frequency range of the peak detector is set to 0.2Hz to 0.5 Hz.
Further, a noise signal is obtained according to the rotating speed signal of the generator.
Further, the weighted instantaneous velocity values are obtained by multiplying the two instantaneous vibration acceleration values by corresponding weighting coefficients, respectively, and then summing the two instantaneous vibration acceleration values.
Further, in the concrete implementation calculation process, two vibration acceleration sensors are respectively set as a sensor a and a sensor B, and the instantaneous value a of the vibration acceleration in the front and rear of the nacelle is measured by A, BA、aB(ii) a A is toA、aBInput into instantaneous value calculation module, and first perform weighting calculation to obtain weighted acceleration instantaneous value ains(ii) a Will be a time domain signal ainsPerforming Fast Fourier Transform (FFT) processing to obtain corresponding frequency domain signals; the instantaneous value of the natural frequency of the tower is set as ftw,ins(ii) a Will f istw,insThe natural frequency basic value f of the tower drum obtained by calculating with the sliding averagetw,baseComparing; the error is set to e.
Further, a base value f obtained by a moving average calculationtw,insCan be directly used as a resistance-adding parameter of a towerDigital input to other resistive module applications
Further, the formula in the weighting calculation can be expressed as:
ains＝ωA×aA+ωB×aB
in the formula: omegaA、ωBAre respectively aA、aBThe weight coefficient of (2).
The method comprises the steps of carrying out weighted calculation and FFT processing on original signals of a sensor to obtain corresponding frequency domain signals, and then carrying out detection and filtering processing through a peak detector to obtain the inherent frequency instantaneous value of the tower. And comparing the instantaneous value with a basic value obtained by the calculation of the sliding average, and if the error e of the two is greater than a threshold value, judging the inherent frequency deviation of the tower drum, and further alarming and stopping. Meanwhile, a base value obtained through the moving average calculation can be directly used as a tower drum resistance adding parameter, the base value is obtained by carrying out moving average iteration on an instantaneous value in a certain period, and the accuracy is high.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (7)
1. A method for monitoring natural frequency of a tower barrel of a wind generating set is characterized in that vibration acceleration instantaneous values of two symmetrical points of an axis in the tower barrel are measured; carrying out weighting calculation on the two vibration acceleration instantaneous values to obtain a weighted speed instantaneous value, and carrying out fast Fourier transform processing on the weighted speed instantaneous value to obtain a corresponding frequency domain signal; carrying out peak value detector detection and filtering processing on the frequency domain signal to obtain a tower drum inherent frequency instantaneous value; comparing the inherent frequency instantaneous value of the tower drum with the basic value to obtain a difference value, and if the difference value is greater than a threshold value, giving an alarm to stop the machine; and performing moving average calculation on the tower drum natural frequency instantaneous value in a set sample period to obtain a base value of the tower drum natural frequency, and inputting the base value obtained by the moving average calculation as a tower drum resistance adding parameter to other resistance adding modules for application.
2. The method of claim 1, wherein the frequency domain signal is passed through a peak detector to obtain a frequency corresponding to the peak amplitude.
3. The monitoring method according to claim 2, wherein the frequency is filtered to remove known noise signals around the tower natural frequency, and the filtering output is the tower natural frequency instantaneous value.
4. The monitoring method according to claim 1, wherein two vibration acceleration sensors are symmetrically installed in the tower with the main shaft as a center line, and vibration acceleration instantaneous values of two points in axial symmetry in the nacelle are measured.
5. The monitoring method of claim 1, wherein the frequency range of the peak detector is set between 0.2Hz and 0.5 Hz.
6. A method of monitoring as claimed in claim 3, wherein the noise signal is derived from the generator speed signal.
7. The monitoring method of claim 1, wherein the weighted velocity transients are summed by multiplying the two vibration acceleration transients by respective weighting factors.
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| CN107192446B true CN107192446B (en) | 2020-12-29 |
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| CN108253590B (en) * | 2018-01-09 | 2021-03-19 | 广东美的制冷设备有限公司 | Variable frequency air conditioner, resonance point judgment method of compressor of variable frequency air conditioner and storage medium |
| CN108457797B (en) * | 2018-02-01 | 2020-12-11 | 上海电气风电集团股份有限公司 | Control method for inhibiting lateral vibration of tower of wind generating set |
| US11635062B2 (en) | 2018-11-07 | 2023-04-25 | General Electric Renovables Espana, S.L. | Wind turbine and method to determine modal characteristics of the wind turbine in a continuous manner |
| CN109612711B (en) * | 2018-12-29 | 2024-07-23 | 北京天一高科科技有限公司 | Cantilever screw looseness monitoring system for electrified railway contact net |
| CN113824426B (en) * | 2020-06-18 | 2024-07-23 | 金风科技股份有限公司 | Filter control method and device for wind generating set |
| CN112434414B (en) * | 2020-11-18 | 2022-11-22 | 中国船舶重工集团海装风电股份有限公司 | Method for calculating prestress natural vibration frequency of fan tower |
| CN117606782B (en) * | 2024-01-24 | 2024-04-02 | 唐智科技湖南发展有限公司 | Wind driven generator blade fault detection method, device, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101338729A (en) * | 2007-07-06 | 2009-01-07 | 诺德克斯能源有限公司 | Method and device for determining strain of wind energy device |
| CN102042166A (en) * | 2010-11-25 | 2011-05-04 | 华锐风电科技(集团)股份有限公司 | Vibration detecting device of wind power generating set and method thereof |
| CN103411659A (en) * | 2013-08-12 | 2013-11-27 | 国电联合动力技术有限公司 | Wind driven generator blade and method and system for monitoring tower barrel states |
| CN203642870U (en) * | 2013-09-06 | 2014-06-11 | 龙源电力集团股份有限公司 | Running status monitoring system of offshore wind-power tower |
| WO2016023556A1 (en) * | 2014-08-13 | 2016-02-18 | Vestas Wind Systems A/S | Improvements relating to the determination of rotor imbalances in a wind turbine |
-
2017
- 2017-07-31 CN CN201710639532.3A patent/CN107192446B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101338729A (en) * | 2007-07-06 | 2009-01-07 | 诺德克斯能源有限公司 | Method and device for determining strain of wind energy device |
| CN102042166A (en) * | 2010-11-25 | 2011-05-04 | 华锐风电科技(集团)股份有限公司 | Vibration detecting device of wind power generating set and method thereof |
| CN103411659A (en) * | 2013-08-12 | 2013-11-27 | 国电联合动力技术有限公司 | Wind driven generator blade and method and system for monitoring tower barrel states |
| CN203642870U (en) * | 2013-09-06 | 2014-06-11 | 龙源电力集团股份有限公司 | Running status monitoring system of offshore wind-power tower |
| WO2016023556A1 (en) * | 2014-08-13 | 2016-02-18 | Vestas Wind Systems A/S | Improvements relating to the determination of rotor imbalances in a wind turbine |
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